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Analysis of errors in histology by root cause analysis: a pilot study
INTRODUCTION. The study objective is to evaluate critical points in the process of pre-analytical histology in an Anatomic Pathology laboratory. Errors are an integral part of human systems, including the complex system of Anatomic Pathology. Previous studies focused on errors committed in diagnosis...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Pacini Editore SpA
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4718384/ https://www.ncbi.nlm.nih.gov/pubmed/24396989 |
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author | MORELLI, P. PORAZZI, E. RUSPINI, M. RESTELLI, U. BANFI, G. |
author_facet | MORELLI, P. PORAZZI, E. RUSPINI, M. RESTELLI, U. BANFI, G. |
author_sort | MORELLI, P. |
collection | PubMed |
description | INTRODUCTION. The study objective is to evaluate critical points in the process of pre-analytical histology in an Anatomic Pathology laboratory. Errors are an integral part of human systems, including the complex system of Anatomic Pathology. Previous studies focused on errors committed in diagnosis and did not consider the issues related to the histology preparation of routine processes. METHODS. Root Cause Analysis was applied to the process of histology preparation in order to identify the root cause of each previously identified problem. The analysis started by defining an 'a priori' list of errors that could occur in the histology preparation processes. During a three-month period, a trained technician tracked the errors encountered during the process and reported them on a form. 'Fishbone' diagram and 'Five whys' methods were then applied. RESULTS. 8,346 histological cases were reviewed, for which 19,774 samples were made and from which 29,956 histologies were prepared. 132 errors were identified. Errors were detected in each phase: accessioning (6.5%), gross dissecting (28%), processing (1.5%), embedding (4.5%), tissue cutting and slide mounting (23%), coloring, (1.5%), labeling and releasing (35%). DISCUSSION. Root cause analysis is effective and easy to use in clinical risk management. It is an important step for the identification and prevention of errors, that are frequently due to multiple causes. Developing operators' awareness of their central role in the risk management process is possible by targeted training. Furthermore, by highlighting the most relevant points of interest, it is possible to improve both the methodology and the procedural safety. |
format | Online Article Text |
id | pubmed-4718384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Pacini Editore SpA |
record_format | MEDLINE/PubMed |
spelling | pubmed-47183842016-02-02 Analysis of errors in histology by root cause analysis: a pilot study MORELLI, P. PORAZZI, E. RUSPINI, M. RESTELLI, U. BANFI, G. J Prev Med Hyg Original Article INTRODUCTION. The study objective is to evaluate critical points in the process of pre-analytical histology in an Anatomic Pathology laboratory. Errors are an integral part of human systems, including the complex system of Anatomic Pathology. Previous studies focused on errors committed in diagnosis and did not consider the issues related to the histology preparation of routine processes. METHODS. Root Cause Analysis was applied to the process of histology preparation in order to identify the root cause of each previously identified problem. The analysis started by defining an 'a priori' list of errors that could occur in the histology preparation processes. During a three-month period, a trained technician tracked the errors encountered during the process and reported them on a form. 'Fishbone' diagram and 'Five whys' methods were then applied. RESULTS. 8,346 histological cases were reviewed, for which 19,774 samples were made and from which 29,956 histologies were prepared. 132 errors were identified. Errors were detected in each phase: accessioning (6.5%), gross dissecting (28%), processing (1.5%), embedding (4.5%), tissue cutting and slide mounting (23%), coloring, (1.5%), labeling and releasing (35%). DISCUSSION. Root cause analysis is effective and easy to use in clinical risk management. It is an important step for the identification and prevention of errors, that are frequently due to multiple causes. Developing operators' awareness of their central role in the risk management process is possible by targeted training. Furthermore, by highlighting the most relevant points of interest, it is possible to improve both the methodology and the procedural safety. Pacini Editore SpA 2013-06 /pmc/articles/PMC4718384/ /pubmed/24396989 Text en © Copyright by Pacini Editore SpA, Pisa, Italy http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License, which permits for noncommercial use, distribution, and reproduction in any digital medium, provided the original work is properly cited and is not altered in any way. For details, please refer to http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Original Article MORELLI, P. PORAZZI, E. RUSPINI, M. RESTELLI, U. BANFI, G. Analysis of errors in histology by root cause analysis: a pilot study |
title | Analysis of errors in histology by root cause analysis:
a pilot study |
title_full | Analysis of errors in histology by root cause analysis:
a pilot study |
title_fullStr | Analysis of errors in histology by root cause analysis:
a pilot study |
title_full_unstemmed | Analysis of errors in histology by root cause analysis:
a pilot study |
title_short | Analysis of errors in histology by root cause analysis:
a pilot study |
title_sort | analysis of errors in histology by root cause analysis:
a pilot study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4718384/ https://www.ncbi.nlm.nih.gov/pubmed/24396989 |
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